Essays about: "conformal prediction"
Showing result 6 - 10 of 15 essays containing the words conformal prediction.
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6. Comparison of Support Vector Machines and Deep Learning For QSAR with Conformal Prediction
University essay from Uppsala universitet/Institutionen för farmaceutisk biovetenskapAbstract : Quantitative Structure Activity Relationship (QSAR) is a very useful computa-tional method which has facilitated great progress in drug development [1]. Thismethod can be used to predict a molecule’s activity against a certain target justby comparing its structural characteristics (i.e. READ MORE
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7. Improving ligand-based modelling by combining various features
University essay from Uppsala universitet/Institutionen för farmaceutisk biovetenskapAbstract : Background: In drug discovery morphological profiles can be used to identify and establish a drug's biological activity or mechanism of action. Quantitative structure-activity relationship (QSAR) is an approach that uses the chemical structures to predict properties e.g., biological activity. READ MORE
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8. Training Machine Learning-based QSAR models with Conformal Prediction on Experimental Data from DNA-Encoded Chemical Libraries
University essay from Uppsala universitet/Institutionen för farmaceutisk biovetenskapAbstract : DNA-encoded chemical libraries (DEL) allows an exhaustive chemical space sampling with a large-scale data consisting of compounds produced through combinatorial synthesis. This novel technology was utilized in the early drug discovery stages for robust hit identification and lead optimization. READ MORE
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9. Conquering Chemical Space : Optimization of Docking Libraries through Interconnected Molecular Features
University essay from Uppsala universitet/Institutionen för biologisk grundutbildningAbstract : Copied selected text to selection primary: The development of new pharmaceuticals is a long and ardous process that typically requires more than 10 years from target identification to approved drug. This process often relies on high throughput screening of molecular libraries. READ MORE
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10. General image classifier for fluorescence microscopy using transfer learning
University essay from Uppsala universitet/Avdelningen för visuell information och interaktionAbstract : Modern microscopy and automation technologies enable experiments which can produce millions of images each day. The valuable information is often sparse, and requires clever methods to find useful data. READ MORE